Collaboratively mining sequential patterns over private data

To conduct data mining, we often need to collect data from various parties. Privacy concerns may prevent the parties from directly sharing the data. A challenging problem is how multiple parties collaboratively conduct data mining without breaching data privacy. The goal of this paper is to provide solutions for privacy-preserving sequential pattern mining for horizontal collaboration. Our goal is to obtain accurate mining results without disclosing private data.